{"id":"W6905815669","doi":"10.15468/dl.xfs4j3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; Species name","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001008373,0.001933215,0.00157305,0.004930706,0.001056731,0.002691915,0.002709473,0.002183833,0.1718626],"category_scores_gemma":[0.006669298,0.0009213841,0.001276747,0.008945933,0.00044149,0.002531394,0.00263481,0.002058442,0.2234174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634825,"about_ca_system_score_gemma":0.002383721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295836,"about_ca_topic_score_gemma":0.03530819,"domain_scores_codex":[0.9989042,0.0001563815,0.0001386806,0.0003880018,0.0002333458,0.0001792273],"domain_scores_gemma":[0.9972169,0.000860458,0.000236418,0.0007294176,0.0006616401,0.0002950044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002791176,0.0000107186,0.0003575784,0.0004891414,0.00001255992,0.0000145206,0.00002186033,0.0001143619,0.00009567462,0.0003387797,0.9972126,0.001304355],"study_design_scores_gemma":[0.000075809,0.000009034429,0.001918454,0.0002135739,0.00001398559,0.00003816743,0.00008309807,0.0001771483,0.0001805837,0.0008372651,0.9964337,0.00001913687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004129064,0.00002572374,0.00004431074,0.00004348581,0.00001326809,0.000006077942,0.9987819,0.0004211525,0.0006227425],"genre_scores_gemma":[0.0001756506,0.00003490617,0.0002099043,0.0000551556,0.000004195214,0.00004832188,0.9988,0.0001709866,0.0005008102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8281374,"threshold_uncertainty_score":0.5749377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}